Handbook

This course covers the actuarial professional syllabus for data analysis and statistics for risk modelling, focusing on techniques for analysing mortality, health, and insurance data used in actuarial decision-making. The course includes exploratory data analysis, data checking and cleaning, and data visualization. Students will learn classification and prediction techniques using regression and generalized linear models, as well as descriptive, inferential, and predictive analysis models. The course will also delve into statistical and machine learning, covering both supervised and unsupervised learning methods. The course also addresses ethical, regulatory, and professional issues, along with risks and risk management associated with data analysis. Special emphasis is placed on effectively communicating technical results for business applications.